لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

Machine Learning with Python

الذهاب إلى القناة على Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

إظهار المزيد

الشبكة: Machine Learning with Pythonالهند4 586التعليم2 406...

📈 نظرة تحليلية على قناة تيليجرام Machine Learning with Python

تُعد قناة Machine Learning with Python (@codeprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 68 482 مشتركاً، محتلاً المرتبة 2 406 في فئة التعليم والمرتبة 4 586 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 68 482 مشتركاً.

بحسب آخر البيانات بتاريخ 04 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -75، وفي آخر 24 ساعة بمقدار 7، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.38‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.57‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 2 314 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 073 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 9.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل insidead, learning, degree, evaluation, algorithm.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

Buy Ad

68 482

المشتركون

+724 ساعات

-597 أيام

-7530 أيام

2 314

عرض المشاهدات

~ 1 07324 ساعات

~ 1 59648 ساعات

3.38%

معدل المشاركة

~ 2

المشاركات في اليوم

Ads index

أرشيف المشاركات

68 482

Please more 100 👍 with our posts

68 482

🔥 Free Certification Courses from Google to try in 2023. 1. Basics of Machine Learning https://grow.google/intl/en_in/ 2. Machine Learning Crash Course https://coursya.com/product/machine-learning-crash-course 3. Project Execution: Running the Project https://coursera.org/learn/project-execution-google 4. Foundations of Project Management https://coursera.org/learn/project-management-foundations 5. Project Initiation: Starting a Successful Project https://coursera.org/learn/project-initiation-google 6. Project Planning: Putting It All Together https://coursera.org/learn/project-planning-google 7. Google Analytics for Power Users https://coursya.com/product/google-analytics-certification-coursya 8. Fundamentals of digital marketing https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB 9. Python Basics for Data Analysis https://coursya.com/product/learn-python-basics-for-data-analysis 10. Data Science Foundations https://grow.google/intl/en_in/ 11. Advanced Google Analytics https://coursera.org/professional-certificates/google-data-analytics 12. Google Cloud Computing Foundations: https://cloudskillsboost.google/course_templates/153 13. Data, ML, and AI in Google Cloud https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost 14. Agile Project Management https://coursera.org/learn/agile-project-management 15. Google Project Management https://coursera.org/professional-certificates/google-project-management https://t.me/CodeProgrammer Please more 100 👍 with our posts

68 482

Please, more reaction ❤️ with last 3 books

68 482

🖥 Get domain name information using Python $pip install whois $pip install whois

>>> import whois
>>> domain = whois.query('google.com')

>>> print(domain.dict)
{
 'expiration_date': datetime.datetime(2020, 9, 14, 0, 0),
 'last_updated': datetime.datetime(2011, 7, 20, 0, 0),
 'registrar': 'MARKMONITOR INC.',
 'name': 'google.com',
 'creation_date': datetime.datetime(1997, 9, 15, 0, 0)
}

>>> print(domain.name)
google.com

>>> print(domain.expiration_date)
2024-09-14 00:00:00

🌟 Github: https://github.com/DannyCork/python-whois https://t.me/CodeProgrammer Please more 100 👍 with our posts

68 482

Please visit the channel

68 482

💊 𝗕𝗶𝗻𝗮𝗿𝘆 𝗢𝗽𝘁𝗶𝗼𝗻 𝗙𝗿𝗲𝗲 𝗦𝗶𝗴𝗻𝗮𝗹 💊 🔶Binary option Signal telegram channel 🔷 Join For Free Signal 🔶 5 Min Expire Signal 🔷 Free 10 - 15 Daily signals 🔶 Join us on Telegram Chsnnel #ad

68 482

Weekly Data Science and programming language courses https://t.me/udemy13

68 482

Please, more reaction ❤️

68 482

🖥 Free Courses and Guides That Will Teach You How to Master AI: 📂 Elements of AI https://elementsofai.com 📂 Learn Prompting https://learnprompting.org 📂 Machine Learning https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning 📂 AI for everyone https://coursera.org/learn/ai-for-everyone 📂 500+ AI Chatbot Prompt Templates https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller 📂 Prompt Engineering https://youtu.be/_ZvnD73m40o 📂 ChatGPT Prompt Engineering for Developers https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers 📂 Google — AI for Anyone https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone 📂 Microsoft — AI For Beginners https://microsoft.github.io/AI-For-Beginners 📂 IBM — AI for Everyone: Master the Basics https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics 📂 Google — Introduction to Generative AI https://cloudskillsboost.google/journeys/118 📂 DeepLearning — Finetuning LLMs https://deeplearning.ai/short-courses/finetuning-large-language-models https://t.me/CodeProgrammer Please more reaction with our posts

68 482

How to Perform Face Detection with Deep Learning Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier. More recently deep learning methods have achieved state-of-the-art results on standard benchmark face detection datasets. One example is the Multi-task Cascade Convolutional Neural Network, or MTCNN for short. In this tutorial, you will discover how to perform face detection in Python using classical and deep learning models. https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/

68 482

BTP CRYPTO PUMPS & SIGNALS We offer short crypto pumps & signals 28-30 times per month. #ad

68 482

BTP CRYPTO PUMPS & SIGNALS We offer short crypto pumps & signals 28-30 times per month. #ad

68 482

Please more reaction with our posts (100 👍(

68 482

💼 Briefcase Briefcase is a tool for converting a Python project into a standalone native application. ▪ Github: https://github.com/beeware/briefcase ▪Tutorial: https://briefcase.readthedocs.io/en/stable/ https://t.me/CodeProgrammer Please more reaction with our posts

68 482

Please more reaction with our posts

68 482

😲 Awesome useful Python scripts Useful ready-made Python scripts. 1. JSON ↔️ CSV (Fig.1) 2. Password generator (Fig.2) 3. String search from several files (Fig.3) 4. Retrieving all links from a given web page (Fig.4) 5. Add a watermark (Fig.5) 6. Parser and image loader from WEB page (Fig.6) 7. Sorting the download folder (Fig.7) 8. Bulk email sending from a CSV file (Fig.8) 9. Obtaining the IP address and hostname of the website (Fig.9) 10. Progress bar of the terminal (Fig.10) 🔗 Scripts: https://uproger.com/udivitelnye-sczenarii-python/ https://t.me/CodeProgrammer Please more reaction with our posts

68 482

The largest library for downloading data science books and programming languages https://t.me/+MhmkscCzIYQ2MmM8

68 482

🔥 Master Data Science for free 📂 Computer Science 101 https://online.stanford.edu/courses/soe-ycscs101-computer-science-101 📂 Machine Learning Specialization https://coursera.org/specializations/machine-learning-introduction 📂 Artificial Intelligence for Robotics https://udacity.com/course/artificial-intelligence-for-robotics--cs373 📂 Designing Your Career https://online.stanford.edu/courses/tds-y0003-designing-your-career 📂 Stanford: Game Theory https://online.stanford.edu/courses/soe-ycs0002-game-theory 📂 Machine Learning with Python https://www.freecodecamp.org/learn/machine-learning-with-python/ 📂 Probability and Statistics: To P or Not To P? (Coursera) https://www.coursera.org/learn/probability-statistics 📂 Numpy complete free course https://www.youtube.com/playlist?list=PLysMDSbb9Hcz3Gdi9oV-btohZ9zhths-r 📂Advanced Machine Learning https://www.kaggle.com/learn/intro-to-machine-learning 📂 Stat 110: Harvard University (YouTube) https://www.youtube.com/watch?v=KbB0FjPg0mw&list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo&index=1 📂 The Open Source Data Science Masters https://github.com/datasciencemasters/go 📂 Google - artificial intelligence for everyone https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone 📂Microsoft - AI for Beginners https://microsoft.github.io/AI-For-Beginners 📂 IBM - AI for Everyone: Master the Basics https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics 📂 Harvard - Introduction to Artificial Intelligence with Python https://cs50.harvard.edu/ai/2023 📂 Introduction to Generative AI https://cloudskillsboost.google/journeys/118 📂 Deep Learning - Finetuning Large Language Models https://deeplearning.ai/short-courses/finetuning-large-language-models/ 📂Microsoft - AI Basics in Azure https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/ https://t.me/CodeProgrammer 📂Linux Foundation https://edx.org/learn/computer-programming/the-linux-foundation-data-and-ai-fundamentals 📂 12 Linux courses: https://t.me/linuxkalii/538 📂 Alison - 13 free AI courses https://alison.com/tag/artificial-intelligence 📂 Artificial Intelligence Projects: https://mygreatlearning.com/academy/learn-for-free/courses/artificial-intelligence-projects 📂 Introduction to Internet of Things: https://online.stanford.edu/courses/xee100-introduction-internet-things 📂 Graph Search, Shortest Paths, and Data Structures https://coursera.org/learn/algorithms-graphs-data-structures 📂 Python: http://cs50.harvard.edu/python/2022/ 📂 Machine Learning: http://developers.google.com/machine-learning/crash-course 📂 Deep Learning http://introtodeeplearning.com 📂 Data Analysis http://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis 📂 Linear algebra: http://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra 📂 Algebra basics https://www.khanacademy.org/math/algebra-basics 📂 Excel and PowerBI http://learn.microsoft.com/training/paths/modern-analytics/ 📂 Data visualization: http://pll.harvard.edu/course/data-science-visualization 📂 PowerBI http://learn.microsoft.com/users/collinschedler-0717/collections/m14nt4rdwnwp04 📂 Tableau: http://tableau.com/learn/training 📂 Statistics: http://cognitiveclass.ai/courses/statistics-101 📂 SQL: http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql https://t.me/CodeProgrammer Please more reaction with our posts